首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >Self-organization and Swarm Intelligence and Evolutionary Computation
【24h】

Self-organization and Swarm Intelligence and Evolutionary Computation

机译:自组织和群体智能和进化计算

获取原文
           

摘要

The group behavior of social creatures has always been a source of inspiration for computer scientists. Collaborative nature of group members exhibits an intelligent behavior which usually, cannot be obtained by any single individual of the group. This intelligent behavior commonly, known as swarm intelligence is implemented by computer scientists in the form of computational algorithms. Ant colony optimization (ACO), particle swarm optimization (PSO), artificial bee colony (ABC), glow worm swarm optimization (GSO), firefly algorithm (FA) and bacterial foraging optimisation (BFO) are some such computational algorithms and are called as swarm intelligent algorithms.
机译:社会生物的小组行为一直是计算机科学家的灵感来源。组成员的协作性质表现出智能行为,通常不能通过本集团的任何单个人获得。这种聪明的行为通常,被称为群体智能,由计算机科学家以计算算法的形式实现。蚁群优化(ACO),粒子群优化(PSO),人造蜂殖民地(ABC),发光蠕虫群优化(GSO),Firefly算法(FA)和细菌觅食优化(BFO)是一些这样的计算算法,称为群体智能算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号